ZipRecruiter

Log In

1

Ai Bioinformatics Jobs in Texas (NOW HIRING)

Baylorgenetics

AD Scientific Innovation

Houston, TX · On-site

$140 - $180/hr

Identify emerging technologies in bioinformatics, multi-omics, AI, and digital health. * Evaluate novel computational methods and translate cutting-edge research into commercially viable products.

next page

Showing results 1-20

All JobsAi Bioinformatics JobsAi Bioinformatics Jobs in Texas

Ai Bioinformatics information

What is an AI bioinformatician?

AI bioinformaticians are professionals who combine artificial intelligence (AI) techniques with bioinformatics to analyze and interpret complex biological data. They use machine learning, deep learning, and other AI tools to identify patterns in genomic, proteomic, and other biological datasets. Their work supports advancements in fields such as personalized medicine, drug discovery, and genomics research. AI bioinformaticians often have expertise in biology, computer science, statistics, and data science.

How does an AI bioinformatics professional typically collaborate with researchers and other team members in interdisciplinary projects?

AI Bioinformatics professionals frequently work in interdisciplinary teams, partnering with biologists, data scientists, software engineers, and healthcare researchers. Collaboration often involves translating biological questions into data-driven problems, developing machine learning models, and interpreting results in the context of ongoing research. Clear communication is essential, as the role requires bridging the gap between computational methods and biological insights. Regular meetings, code sharing, and joint analysis sessions are common practices to ensure all stakeholders are aligned and project goals are met.

What are the key skills and qualifications needed to thrive as an AI bioinformatician, and why are they important?

To thrive as an AI Bioinformatician, you need strong expertise in computational biology, statistics, and machine learning, typically supported by an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of AI frameworks like TensorFlow or PyTorch are required. Effective problem-solving, collaboration, and clear scientific communication are crucial soft skills in this role. These competencies are important for extracting meaningful insights from complex biological data, driving innovation, and advancing research in genomics and healthcare.

What is the difference between Ai Bioinformatics vs Bioinformatics Analyst?

AspectAi BioinformaticsBioinformatics Analyst
Required CredentialsDegree in Bioinformatics, Computer Science, or related fields; knowledge of AI/ML toolsDegree in Bioinformatics, Biology, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, biotech companies, AI-focused teamsResearch institutions, healthcare, biotech firms
Employer & Industry UsageTech companies, biotech firms integrating AIHealthcare, research institutions, biotech companies
Common Search & ComparisonYesYes

Ai Bioinformatics focuses on applying artificial intelligence and machine learning techniques to analyze biological data, often requiring programming and AI expertise. Bioinformatics Analysts primarily analyze biological data using traditional bioinformatics tools. While both roles involve data analysis in biology, Ai Bioinformatics emphasizes AI-driven methods, making it suitable for advanced computational projects.

What is the role of AI in bioinformatics?

AI in bioinformatics involves using machine learning and deep learning algorithms to analyze biological data, such as genetic sequences and protein structures. Bioinformatics professionals develop models to identify patterns, predict functions, and assist in drug discovery, often utilizing tools like Python, R, and specialized AI frameworks. This role requires strong computational skills and knowledge of biology to interpret complex datasets effectively.

Will AI take a bioinformatics job?

AI bioinformatics involves using artificial intelligence and machine learning tools to analyze biological data, and it is increasingly integrated into the field. While AI automates certain tasks, it complements human expertise, and bioinformaticians are needed to interpret results, develop algorithms, and manage data workflows. The role requires skills in programming, data analysis, and understanding biological concepts, making it unlikely that AI will fully replace human bioinformaticians soon.

What are popular job titles related to Ai Bioinformatics jobs in Texas?

For Ai Bioinformatics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Bioinformatics jobs in Texas look for?

The top searched job categories for Ai Bioinformatics jobs in Texas are:

What cities in Texas are hiring for Ai Bioinformatics jobs?

Cities in Texas with the most Ai Bioinformatics job openings:

Ai Bioinformatics jobs near you
Infographic showing various Ai Bioinformatics job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AD Scientific Innovation

Baylorgenetics

Houston, TX • On-site

$140 - $180/hr

Other

Re-posted 12 hours ago

Job description

Headquarters
Baylor Genetics
Houston, TX 77021, USA

Description

JOB SUMMARY

The Associate Director of Bioinformatics Innovation is responsible for driving the strategic vision, innovation roadmap, and execution of next-generation bioinformatics technologies that enable breakthrough products in genomics, precision medicine, molecular diagnostics, and AI-driven healthcare. This role combines scientific innovation,, computational expertise, and cross-functional collaboration to transform emerging technologies into scalable clinical and commercial solutions.

The successful candidate will lead innovation initiatives across computational biology, machine learning, genomics, cloud computing, and software platforms while partnering closely with R&D, Bioinformatics R&D and Software Engineering and Business Development teams.

KEY RESPONSIBILITIES
  • Define and execute the bioinformatics innovation ideas.
  • Identify emerging technologies in bioinformatics, multi-omics, AI, and digital health.
  • Evaluate novel computational methods and translate cutting-edge research into commercially viable products.
  • Partner with cross-functional teams to translate innovative computational solutions into prototypes.
  • Support product roadmap planning and technology transfer.
  • Evaluate external technologies, open-source platforms, strategic partnerships, and licensing opportunities.
  • Foster a culture of innovation, collaboration, scientific excellence, and continuous learning.
QUALIFICATIONS

Required

  • Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or related field.
  • 8 years of experience in bioinformatics, computational biology, or genomics.
  • 3 years of experience managing and leading a team, including direct people management responsibilities.
  • Familiarity with modern programming languages such as Python, R, C++, or Java.
  • Demonstrated success leading innovative computational solution development.
  • Deep knowledge of genomics, NGS analysis, statistical genetics, and computational biology.
  • Experience developing production-grade bioinformatics pipelines and software platforms.
  • Excellent communication and presentation skills.

Preferred:

  • Strong understanding of machine learning and AI applications in life sciences.
  • Experience working in multidisciplinary teams.
  • Experience with cloud computing platforms (AWS, Azure, or Google Cloud).
  • Experience with large-scale genomic databases and real-world clinical data.
  • Track record of patents, publications, or successful product launches.
COMPETENCIES
  • Strategic Thinking
  • Scientific Excellence
  • Cross-functional Collaboration
PHYSICAL DEMANDS AND WORK ENVIRONMENT
  • Frequently required to sit, talk, and hear.
  • Regular use of computer, keyboard, and standard office equipment.
  • May be required to manage multiple competing priorities in a fast-paced environment.
EEO STATEMENT

Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.

#J-18808-Ljbffr

Apply